Lab Manual for Biomedical Engineering: Devices and Systems examines key concepts in biomedical systems and signals in a laboratory setting. The book gives students the opportunity to complete both measurement and math modeling exercises, thus demonstrating that the experimental real-world setting directly corresponds with classroom theory. All the experiments in the lab manual have been extensively class-tested and cover concepts such as wave math, Fourier transformation, electronic and random noise, transfer functions, and systems modeling. Each experiment builds on knowledge acquired in previous experiments, allowing the level of difficulty to increase at an appropriate pace. In completing the lab work, students enhance their understanding of the lecture course. The third edition features expanded exercises, additional sample data and measurements, and lab modifications for increased ease and simple adaptation to the online teaching and learning environment. Individual activities have also been added to aid with independent learning. Lab Manual for Biomedical Engineering is ideal for undergraduate courses in biomedical engineering comprised of students who have completed introductory electrical and mechanical physics courses. A two-semester background in calculus is recommended.

Maple is a comprehensive symbolic mathematics application which is well suited for demonstrating physical science topics and solving associated problems. Because Maple is such a rich application, it has a somewhat steep learning curve. Most existing texts concentrate on mathematics; the Maple help facility is too detailed and lacks physical science examples, many Maple-related websites are out of date giving readers information on older Maple versions. This book records the author's journey of discovery; he was familiar with SMath but not with Maple and set out to learn the more advanced application. It leads readers through the basic Maple features with physical science worked examples, giving them a firm base on which to build if more complex features interest them.